Artificial intelligence in digital pathology diagnosis and analysis: technologies, challenges, and future prospects
First Affiliated Hospital Zhejiang University · Zhejiang University of Science and Technology · +16 more institutions
Abstract
Artificial intelligence (AI) offers transformative potential in pathology, where histopathological images remain the diagnostic gold standard due to their rich morphological and molecular information. While the rapid development of AI-driven computational pathology tools is revolutionizing disease interpretation, these technologies have not yet been systematically evaluated. Therefore, this review systematically evaluates AI applications across the diagnostic continuum, from image preprocessing and tumor classification to prognostic stratification and the discovery of predictive biomarkers. It presents a technical taxonomy of the algorithms and foundation models powering these applications, benchmarking their…
Citation impact
- FWCI
- 146.10
- Percentile
- 100%
- References
- 186
Authors
30- XZXiu-Ming Zhang
First Affiliated Hospital Zhejiang University
- TGTian-Hong Gao
Zhejiang University of Science and Technology, Zhejiang University of Technology
- QCQiu-Yu Cai
First Affiliated Hospital Zhejiang University
- JXJia-Bin Xia
Zhejiang University of Science and Technology, Zhejiang University of Technology
- YSYuning Sun
Zhejiang University of Science and Technology, Zhejiang University of Technology
Topics & keywords
- Digital pathology
- Interpretability
- Benchmarking
- Preprocessor
- Precision medicine
- Applications of artificial intelligence
- Transformative learning
- Deep learning
- Industry, innovation and infrastructure